Assume that a simple random sample has been selected from a normally distributed population and test the given claim. Identify the null and alternative hypotheses, test statistic, P-value, and state the final conclusion that addresses the original claim. A safety administration conducted crash tests of child booster seats for cars. Listed below are results from those tests, with the measurements given in hic (standard head injury condition units). The safety requirement is that the hic measurement should be less than 1000 hic. Use a 0.01 significance level to test the claim that the sample is from a population with a mean less than 1000 hic. Do the results suggest that all of the child booster seats meet the specified requirement? 744 664 1099 581 535 595 - What are the hypotheses? O A. Ho: H> 1000 hic ΟΒ. H : μ= 1000 hic H1: µ2 1000 hic H1:µ< 1000 hic O D. Ho: H< 1000 hic H,: u2 1000 hic C. Ho: u= 1000 hic H;: µ< 1000 hic Identify the test statistic. %3D (Round to three decimal places as needed.)

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**Scenario Description:**

Assume that a simple random sample has been selected from a normally distributed population, and you need to test the given claim. Identify the null and alternative hypotheses, test statistic, P-value, and state the final conclusion that addresses the original claim.

A safety administration conducted crash tests of child booster seats for cars. The results listed below are the measurements in hic (standard head injury condition units). The safety requirement is that the hic measurement should be less than 1000 hic. You are tasked with evaluating whether the sample indicates that the mean is less than 1000 hic, using a 0.01 significance level. Does the data suggest that all child booster seats meet the specified requirement?

Measurements: 744, 664, 1099, 581, 535, 595

**Hypotheses Options:**

- **A.**
  - \( H_0: \mu < 1000 \, \text{hic} \)
  - \( H_1: \mu \geq 1000 \, \text{hic} \)

- **B.**
  - \( H_0: \mu = 1000 \, \text{hic} \)
  - \( H_1: \mu \neq 1000 \, \text{hic} \)

- **C.** 
  - \( H_0: \mu = 1000 \, \text{hic} \)
  - \( H_1: \mu < 1000 \, \text{hic} \) 

- **D.**
  - \( H_0: \mu < 1000 \, \text{hic} \)
  - \( H_1: \mu \geq 1000 \, \text{hic} \)

The selected hypotheses are option **C**, which are:

- Null Hypothesis (\( H_0 \)): \( \mu = 1000 \, \text{hic} \)
- Alternative Hypothesis (\( H_1 \)): \( \mu < 1000 \, \text{hic} \)

**Identify the Test Statistic:**

Calculate the test statistic \( t \) using the given data. Provide the value rounded to three decimal places as needed.

**Graph/Diagram Explanation:**

There are no graphs or diagrams provided in this image. The focus is on statistical hypothesis testing based on given data and
Transcribed Image Text:**Scenario Description:** Assume that a simple random sample has been selected from a normally distributed population, and you need to test the given claim. Identify the null and alternative hypotheses, test statistic, P-value, and state the final conclusion that addresses the original claim. A safety administration conducted crash tests of child booster seats for cars. The results listed below are the measurements in hic (standard head injury condition units). The safety requirement is that the hic measurement should be less than 1000 hic. You are tasked with evaluating whether the sample indicates that the mean is less than 1000 hic, using a 0.01 significance level. Does the data suggest that all child booster seats meet the specified requirement? Measurements: 744, 664, 1099, 581, 535, 595 **Hypotheses Options:** - **A.** - \( H_0: \mu < 1000 \, \text{hic} \) - \( H_1: \mu \geq 1000 \, \text{hic} \) - **B.** - \( H_0: \mu = 1000 \, \text{hic} \) - \( H_1: \mu \neq 1000 \, \text{hic} \) - **C.** - \( H_0: \mu = 1000 \, \text{hic} \) - \( H_1: \mu < 1000 \, \text{hic} \) - **D.** - \( H_0: \mu < 1000 \, \text{hic} \) - \( H_1: \mu \geq 1000 \, \text{hic} \) The selected hypotheses are option **C**, which are: - Null Hypothesis (\( H_0 \)): \( \mu = 1000 \, \text{hic} \) - Alternative Hypothesis (\( H_1 \)): \( \mu < 1000 \, \text{hic} \) **Identify the Test Statistic:** Calculate the test statistic \( t \) using the given data. Provide the value rounded to three decimal places as needed. **Graph/Diagram Explanation:** There are no graphs or diagrams provided in this image. The focus is on statistical hypothesis testing based on given data and
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